Senior Developer

Tata Consultancy Services

Charlotte (NC)

On-site

USD 110,000 - 120,000

Full time

30 hours ago
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Benefits offered by this job

Discretionary Annual Incentive.
Comprehensive Medical Coverage
Family Support: Parental Leaves
Insurance Options: Auto & Home
Certification & Training Reimbursement
Vacation, Sick Leave & Holidays

Job summary

Tata Consultancy Services in Charlotte seeks a senior data/platform engineer with 10+ years in data engineering and platform architecture. You will design surveillance data processing platforms using Hadoop, Spark and PySpark, govern data flows, and guide cross-functional teams.

Role emphasizes building scalable ETL/ELT pipelines, real-time processing, and strong communication to influence across organizations. Regulatory-focused data platforms experience is valued.

Qualifications

  • Deep Expertise in PySpark, including performance tuning and optimization.
  • Strong Python development experience in large-scale distributed environment.
  • Solid knowledge of Hadoop ecosystem (HDFS, Hive/Impala, YARN).
  • Experience designing and governing enterprise data platforms with regulatory considerations.
  • Expertise in ELT/ETL, batch and real-time data processing.
  • Proficiency in Java, Scala and SQL.
  • Understanding of non-functional requirements and production support.

Responsibilities

  • Enterprise & Surveillance Architecture.
  • Define target state architecture and roadmap for surveillance data platforms leveraging Hadoop, Spark, PySpark and Python.
  • Establish standard architectural patterns for alert generation, enrichment, aggregation and reporting pipelines.
  • Ensure architecture aligns with enterprise standards and regulatory expectations.
  • Solution design and delivery support.
  • Translate requirements into scalable technical designs for surveillance platforms.
  • Review and approve detailed designs to ensure alignment with intent and standards.
  • Provide hands-on architectural guidance during development, testing and implementation.
  • Design and standardize Spark/PySpark frameworks for surveillance workflows.
  • Modernize and optimize large-scale Hadoop workloads for performance and control.
  • Implement audit-friendly lineage and governance patterns.
  • Support end-to-end delivery across the software lifecycle.

Skills

PySpark
Python
Hadoop
Java/Scala/SQL
Data architecture
Communication

Education

Bachelor's degree in Computer Science

Tools

Kafka
Airflow
Oozie
Control-M

Job description

Job Description


Must Have Technical/Functional Skills


Primary Skill: Data Engineering, Platform Engineering or architecture roles. Deep Expertise in Pyspark.


Experience: 10+ yrs


Roles & Responsibilities

Bachelor’s or master’s degree in computer science or related field.


Required Hard and Soft Skills / Experience


  • Deep Expertise in PySpark, including performance tuning and optimization

  • Strong python development experience in large-scale distributed environment

  • Solid knowledge of Hadoop ecosystem (HDFS,Hive/Impala, YARN)

  • Proven experience designing and governing enterprise, regulatory facing data platforms.

  • Expertise in designing data lakes, ELT/ETL pipelines, batch and real time data processing solution

  • Proficiency in programming languages such as Java, Scala and SQL

  • Strong understanding of non-functional requirements and production support models

  • Clear written and verbal communication skills with ability to influence across organizations


Preferred Skills / Experience


  • Financial services experience, particularly in Market Surveillance, AML, Fraud, Or Risk Technology

  • Experience supporting regulatory or audit facing platforms

  • Kafka and Spark Structured streaming exposure

  • Familiarity with Orchestration tools(Airflow,Control-M,Oozie)

  • Knowledge of data governance, lineage, and data quality controls


Daily Responsibilities/Priorities


  • Enterprise & Surveillance Architecture

  • Define target state architecture and strategic roadmap for surveillance data processing platforms leveraging Hadoop,Spark, Pyspark and Python

  • Establish standard architectural patterns for alert generation, enrichment, aggregation and reporting pipelines.

  • Ensure architecture aligns with enterprise technology standards and Surveillance control expectation

  • Solution Design and Delivery Support

  • Translate surveillance business requirements(e.g, market misconduct detection, regulatory coverage) into scalable technical designs

  • Review and approve detailed technical designs, ensuring alignment with functional intent, regulatory requirements, and architectural standards.

  • Provide hands-on architectural guidance to engineering teams during development, testing and implementation

  • Design and standardization of Spark/Pyspark frameworks supporting surveillance alert generation and enrichment

  • Modernization and Optimization of large-scale Hadoop surveillance workloads to improve performance, stability and control coverage

  • Implementation of enterprise-consistent architecture patterns enabling audit readiness, lineage, and regulatory traceability

  • Support end-to-end delivery across the SDLC, minimizing rework and technical debt


Architecture Governance & Leadership


  • Participate in and lead architecture review forums and design walkthroughs

  • Mentor senior engineers and promote adoption of Standard framework and best practices

  • Influence enterprise surveillance platform strategy through architecture governance


Documentation & Communication


  • Maintain high-quality documentation, including business requirement, data definitions and process flows

  • Proactively communicate risks, dependencies and potential timeline impact to stakeholders


TCS Employee Benefits Summary


  • Discretionary Annual Incentive.

  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

  • Family Support: Maternal & Parental Leaves.

  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.

  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

  • Time Off: Vacation, Time Off, Sick Leave & Holidays.

  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.


Salary Range $110,000-$120,000 a year


Qualifications:

BACHELOR OF COMPUTER SCIENCE

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